• Earthquakes and Structures
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• 제13권3호
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• pp.221-230
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• 2017

One of the important phases of probabilistic performance-based methodology is establishing appropriate probabilistic seismic demand models (PSDMs). These demand models relate ground motion intensity measures (IMs) to demand measures (DMs). The objective of this paper is selection of the optimal IMs in probabilistic seismic demand analysis (PSDA) of the RC high-rise buildings. In selection process features such as: efficiency, practically, proficiency and sufficiency are considered. RC high-rise buildings with core wall structural system are selected as a case study building class with the three characteristic heights: 20-storey, 30-storey and 40-storey. In order to determine the most optimal IMs, 720 nonlinear time-history analyses are conducted for 60 ground motion records with a wide range of magnitudes and distances to source, and for various soil types, thus taking into account uncertainties during ground motion selection. The non-linear 3D models of the case study buildings are constructed. A detailed regression analysis and statistical processing of results are performed and appropriate PSDMs for the RC high-rise building are derived. Analyzing a large number of results it are adopted conclusions on the optimality of individual ground motion IMs for the RC high-rise building.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권1호
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• pp.38-55
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• 2013

Wireless network systems provide fast data transmission rates and various services to users of mobile devices such as smartphones and smart pads. Because many people use high-performance mobile devices, the use of real-time multimedia services is increasing rapidly. However, the preoccupation of resources by real-time traffic users is causing harm to other services-for example, frequent call interference, lowered service quality, and poor network performance. This paper suggests a resource allocation algorithm for effective traffic service support in a hybrid network. The main objective is to obtain an optimum value of data rates by comparing user requirements with the amount of resources that can be allocated. A new mechanism based on Adaptive-Quality of Service (QoS) and a monitoring system based on Queue-Aware are proposed. Adaptive-QoS supports effective resource control according to the type of traffic service, and the monitoring system based on Queue-Aware measures the amount of resources in order to calculate the maximum that can be allocated. We apply our algorithm to a test system and use Qualnet 4.5.1 to evaluate its performance.

• 컴퓨터교육학회논문지
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• 제19권1호
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• pp.111-118
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• 2016

협력 필터링 기반의 추천시스템에서 유사도 측정은 시스템의 성능에 큰 영향을 미치는데, 이는 유사한 다른 사용자들로부터 항목을 추천받기 때문이다. 본 연구에서는 전통적인 유사도 측정 방법의 가장 큰 문제인 데이터 희소성을 극복하기 위해, 기존의 유사도 측정값과 공통평가항목수의 반영값을 최적으로 결합하는 새로운 유사도 측정방식을 제안한다. 제안 방식의 성능 평가를 위해 다양한 조건으로 실험한 결과 기존 방식들보다 우수한 예측 정확도를 나타냈으며, 구체적으로 전통적인 피어슨 상관보다 최대 약 7%, 코사인 유사도보다는 최대 약 4% 향상된 결과를 보였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권4호
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• pp.2129-2147
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• 2019

This paper introduces an adaptive face recognition method based on a Novel Incremental Kernel Nonparametric Discriminant Analysis (IKNDA) that is able to learn through time. More precisely, the IKNDA has the advantage of incrementally reducing data dimension, in a discriminative manner, as new samples are added asynchronously. Thus, it handles dynamic and large data in a better way. In order to perform face recognition effectively, we combine the Gabor features and the ordinal measures to extract the facial features that are coded across local parts, as visual primitives. The variegated ordinal measures are extraught from Gabor filtering responses. Then, the histogram of these primitives, across a variety of facial zones, is intermingled to procure a feature vector. This latter's dimension is slimmed down using PCA. Finally, the latter is treated as a facial vector input for the advanced IKNDA. A comparative evaluation of the IKNDA is performed for face recognition, besides, for other classification endeavors, in a decontextualized evaluation schemes. In such a scheme, we compare the IKNDA model to some relevant state-of-the-art incremental and batch discriminant models. Experimental results show that the IKNDA outperforms these discriminant models and is better tool to improve face recognition performance.

• 근관절건강학회지
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• 제30권1호
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• pp.36-47
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• 2023

Purpose: The study aim was to investigate factors affecting factors nursing performance. Methods: This descriptive correlation study examined degree of mindfulness, resilience, organizational commitment, and nursing performance in order to confirm the correlation between variables and their effects on nursing performance. Study participants were 193 nurses who had more than 1 year of work experience at a tertiary hospital. The data were collected from March to April 2022 using structured self-reported questionnaires. SPSS/WIN 25.0 program was used to analyze the data. The statistical significance of the mediating effects were verified by applying PROCESS Macro. Results: Resilience, health state, total clinical career years, and organizational commitment were identified as factors affecting nursing performance, with the model explaining 51.6% of outcomes. Resilience had a complete mediating effect on the relationship between mindfulness and nursing performance. Conclusion: To improve nursing performance, various education and training must be developed and implemented to strengthen resilience. Additionally, it will be helpful to apply a mindfulness-based program to improve resilience. Further, designing various measures to improve the work environment and increase organizational commitment is recommended.

• Journal of Information Processing Systems
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• 제5권2호
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• pp.105-116
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• 2009

To solve the general problems surrounding the application of genetic algorithms in stereo matching, two measures are proposed. Firstly, the strategy of simplified population-based incremental learning (PBIL) is adopted to reduce the problems with memory consumption and search inefficiency, and a scheme for controlling the distance of neighbors for disparity smoothness is inserted to obtain a wide-area consistency of disparities. In addition, an alternative version of the proposed algorithm, without the use of a probability vector, is also presented for simpler set-ups. Secondly, programmable graphics-hardware (GPU) consists of multiple multi-processors and has a powerful parallelism which can perform operations in parallel at low cost. Therefore, in order to decrease the running time further, a model of the proposed algorithm, which can be run on programmable graphics-hardware (GPU), is presented for the first time. The algorithms are implemented on the CPU as well as on the GPU and are evaluated by experiments. The experimental results show that the proposed algorithm offers better performance than traditional BMA methods with a deliberate relaxation and its modified version in terms of both running speed and stability. The comparison of computation times for the algorithm both on the GPU and the CPU shows that the former has more speed-up than the latter, the bigger the image size is.

• 한국재난정보학회 논문집
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• 제13권2호
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• pp.233-248
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• 2017

초고층 건축물의 발생 가능한 화재를 방지하기 위해서는 통일된 법 규정과 합리적인 설계가 필요하다. 이를 위해 본 연구는 초고층 및 대형 건축물관련 건축심의 성능위주설계(PBD)평가 재해영향평가(DIA)를 중심으로 이 제도의 대상이 되는 건축물과 그 내용상의 문제를 분석하여 성능위주 설계를 기반으로 하는 화재 공학적 화재예방 개선방안을 도출하였다. 먼저 법 기준개선측면에서는 첫째 성능위주설계(PBD)평가와 재해영향평가 등에 있어서 상당부분이 동일한 내용임에도 불구하고 두 개의 법령으로 이원화된 부분은 일치 시키고 통폐합해서 운영하는 것이 필요하다. 둘째, 성능위주설계(PBD)평가와 재해영향평가(DIA)의 통폐합이 불가능하다면, 성능위주설계(PBD)평가와 재해영향평가(DIA)의 내용의 영역이 명확히 구분되어 정립되어야 한다. 다음 초고층 건축물의 공학적 화재위험성에 대한 개선방안으로는 NFPA 규정대로 첫째 특별 피난 계단에서 직통계단의 규정을 개정할 필요가 있으며, 배연창 대신 기계식 배연설비를 설치하는 경우, 미국에서 사용하는 샌드위치 가압방식(Sandwich Pressurization) 허용하고, 둘째 특별 피난계단용 제연설비는 화재시 구간별로 급기 할 수 있도록 기준의 개정 및 설계초기 단계부터 준공까지 성능위주설계 진행 등이 필요한 것으로 나타났다. 향후 이상의 연구에서 도출한 개선책 반영과 함께 초고층 건축물의 대한 또 다른 고려사항들에 대해 추가적인 연구가 진행되고, 또한 유지관리에 대한 연구가 진행되어 그 결과를 반영할 수 있는 초고층 건축물이라면 화재로 인한 인명피해 및 재산손실을 줄이는데 획기적인 기여를 할 것으로 예상된다.

• Earthquakes and Structures
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• 제7권4호
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• pp.485-510
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• 2014

In performance-based seismic design procedures Peak Ground Acceleration (PGA) and pseudo-Spectral acceleration ($S_a$) are commonly used to predict the response of structures to earthquake. Recently, research has been carried out to evaluate the predictive capability of these standard Intensity Measures (IMs) with respect to different types of structures and Engineering Demand Parameter (EDP) commonly used to measure damage. Efforts have been also spent to propose alternative IMs that are able to improve the results of the response predictions. However, most of these IMs are not usually employed in probabilistic seismic demand analyses because of the lack of reliable Ground Motion Prediction Equations (GMPEs). In order to define seismic hazard and thus to calculate demand hazard curves it is essential, in fact, to establish a GMPE for the earthquake intensity. In the light of this need, new GMPEs are proposed here for the elastic input energy spectra, energy-based intensity measures that have been shown to be good predictors of both structural and non-structural damage for many types of structures. The proposed GMPEs are developed using mixed-effects models by empirical regressions on a large number of strong-motions selected from the NGA database. Parametric analyses are carried out to show the effect of some properties variation, such as fault mechanism, type of soil, earthquake magnitude and distance, on the considered IMs. Results of comparisons between the proposed GMPEs and other from the literature are finally shown.

• Journal of Information Technology Applications and Management
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• 제14권3호
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• pp.1-14
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• 2007

Recently. interests in IT Service Management (ITSM) are increasing internationally as well as domestically. In order to realize the benefits from ITSM, it is necessary to institutionalize it as a culture of the organization through effective change management. One of the most promising approach of effective change management is a Six Sigma technique. In this study, we analyze a success case in which 6 Sigma was applied to Service Desk function which is one of the most important functions of ITSM. Through the analyses, this study aims to propose a feasible and specific approach to institutionalize ITSM. To accomplish the objective. the study analyzed specific methods of application of 6 Sigma to ITSM. performance of the project and future directions based on interview and project document/deliverable review. This study could not provide detailed performance measures due to lack of previous research on this topic and difficulty of obtaining quantitative data. However. this study has contributed to proposing a direction to institutionalize ITSM in organizations by analyzing a feasibility of 6 Sigma in implementing ITSM.

• 대한산업공학회지
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• 제38권4호
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• pp.262-275
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• 2012

This paper develops a multistage scheduling algorithm for the module operation of the LCD(Liquid Crystal Display) production systems and tests the efficiency of the proposed algorithm. The module operation is a multistage form composed of multiple sub operations of processes, and each stage is consists of multiple lines with the same kinds of machines. This paper presents a mathematical modeling reflecting the constraints of the LCD module operation and develops a multistage scheduling algorithm based on tabu search metaheuristic approach. For this purpose, an production order is assigned to a line of the sub operations and a sequence of the assigned order is rearranged to draw an efficient schedule. Simulation experiments test performance measures and show the efficiency of the proposed algorithm.